Structural‐Insensitive Descriptors N<sub>s,p</sub> Based on M‐N<sub>4</sub>‐OH Active Entity for Predicting and Enhancing ORR Activity in 3<i>d</i> Transition Metal Catalysts

The development of high-performance ORR catalysts is challenged by the understanding how the delocalized electrons in s- and p-orbitals influence oxygen intermediate adsorption and overall catalytic performance. To address these challenges, the from active unit to bulk catalyst (FAUC) design strategy is employed to investigate the roles of s- and p-orbitals in ORR activity. Specifically, six M-N<sub>4</sub>-OH (M = V, Cr, Mn, Fe, Co, and Ni) catalyst systems are constructed and analyzed using density functional theory (DFT), this study reveals that, compared to d-orbitals, the delocalized electrons in the s- and p-orbitals (N<sub>s,p</sub>) exhibit a significant volcano relationship with ORR activity. This superior predictive capability arises from the weaker dependence of s- and p-orbitals on the local coordination environment. Additionally, a structure-activity relationship is established where shortening M─O and M─N bond lengths significantly increases N<sub>s,p</sub>. Through modification strategies such as doping and loading, the Co─N bond lengths are regulated in Co-N<sub>4</sub>-OH-C, resulting in shorter bonds and increased N<sub>s,p</sub>, which shifted ORR catalytic activity closer to the volcano peak. These findings validate the N<sub>s,p</sub> descriptor's rationality and universality across various 3d transition metals, providing new insights for the design of high-performance ORR catalysts.

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Small
Published
2025-04-24
DOI
https://doi.org/10.1002/smll.202500789
Primary Topic
Electrocatalysts for Energy Conversion
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article
Field-Weighted Citation Impact
0.00

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article

Structural‐Insensitive Descriptors Ns,p Based on M‐N4‐OH Active Entity for Predicting and Enhancing ORR Activity in 3d Transition Metal Catalysts

Jinchao Xu, Chunning Zhao, Huan Li, Weichao Wang et al.
Small
Electrocatalysts for Energy Conversion
article

Structural‐Insensitive Descriptors Ns,p Based on M‐N4‐OH Active Entity for Predicting and Enhancing ORR Activity in 3d Transition Metal Catalysts

Jinchao Xu, Chunning Zhao, Huan Li, Weichao Wang, Gang Chen, Liyuan Yang, Xiang Wan, Ruiting Hao, Qingyu Shan, Wen Wang, Weichao Wang
article en

Abstract

The development of high-performance ORR catalysts is challenged by the understanding how the delocalized electrons in s- and p-orbitals influence oxygen intermediate adsorption and overall catalytic performance. To address these challenges, the from active unit to bulk catalyst (FAUC) design strategy is employed to investigate the roles of s- and p-orbitals in ORR activity. Specifically, six M-N<sub>4</sub>-OH (M = V, Cr, Mn, Fe, Co, and Ni) catalyst systems are constructed and analyzed using density functional theory (DFT), this study reveals that, compared to d-orbitals, the delocalized electrons in the s- and p-orbitals (N<sub>s,p</sub>) exhibit a significant volcano relationship with ORR activity. This superior predictive capability arises from the weaker dependence of s- and p-orbitals on the local coordination environment. Additionally, a structure-activity relationship is established where shortening M─O and M─N bond lengths significantly increases N<sub>s,p</sub>. Through modification strategies such as doping and loading, the Co─N bond lengths are regulated in Co-N<sub>4</sub>-OH-C, resulting in shorter bonds and increased N<sub>s,p</sub>, which shifted ORR catalytic activity closer to the volcano peak. These findings validate the N<sub>s,p</sub> descriptor's rationality and universality across various 3d transition metals, providing new insights for the design of high-performance ORR catalysts.

SmallVol. 21(30)
Yunnan Normal University (CN), Nankai University (CN), Southwest Forestry University (CN), City University of Hong Kong, Shenzhen Research Institute (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 95%
Electrocatalysts for Energy Conversion
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